Business Data Analytics Intern, Customer Experience

Business Data Analytics Intern, Customer Experience

Overview

Waters Corporation focuses on developing a data-driven customer experience model. The role translates customer, service, and commercial data into actionable frameworks that enable differentiated service offerings, informed investment decisions, and measurable impact on customer outcomes and loyalty. The intern will collaborate with Marketing, Service, Commercial Excellence, Strategy, and Regional teams to synthesize voice-of-customer (VoC), operational telemetry, CRM, and financial signals into a scalable model that supports segmentation, service tier design, and customer journey optimization.

Responsibilities

• Develop a CX model that maps key customer segments, journeys, moments that matter, and experience drivers linked to service tier differentiation.
• Create scoring/propensity segmentation frameworks and experience driver analyses using explainable methods to identify key factors influencing customer satisfaction, retention, and service demand.
• Build journey maps from awareness to renewal, identifying friction points and high‑impact interventions.
• Triangulate qualitative insights (interviews, surveys) with quantitative data to surface experience drivers.
• Create decision‑oriented dashboards (Power BI) visualizing customer segments, experience metrics, and service tier recommendations.
• Define a pilot‑ready service differentiation plan, including scope, success metrics, operational considerations, and a basic service playbook.
• Prepare and deliver executive‑ready summaries and documentation, ensuring clear handoff of datasets, assumptions, dashboards, and recommendations for continued use beyond the internship.

Qualifications

• Current MBA/Master's student focused on Data Analytics, Data Science, Business Analytics or a related field.
• Hands‑on experience with real business data, including writing SQL queries, cleaning and validating datasets, and using Excel for analysis and basic modeling.
• Working knowledge of data analysis tools such as Python or R.
• Ability to document work clearly, including data sources, assumptions, key methodologies, and guidance for model reuse.
• Skill translating complex analyses into clear business recommendations with measurable outcomes.
• Strong communication skills and ability to collaborate with stakeholders across functions and time zones.

Company Description

Waters Corporation (NYSE:WAT) is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high‑volume testing environments, our portfolio harnesses deep scientific expertise across chemistry, physics, and biology. We collaborate with customers worldwide to advance the release of effective, high‑quality medicines, ensure food and water safety, and improve patient outcomes by detecting diseases early, managing routine infections, and combating antibiotic resistance.

Our shared culture of relentless innovation engages approximately 16,000 colleagues turning scientific challenges into breakthroughs that improve lives worldwide.

Waters complies with all applicable federal, state, and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status, military service, veteran status, pregnancy, genetic information, sexual orientation, gender identity, legally recognized disability, domestic‑violence victim status, or any other characteristic protected by law. Waters is a proud equal‑opportunity workplace and an affirmative action employer.

All hiring decisions are based solely on qualifications, merit, and business needs at the time.